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Assessing The Relative Performance Of University Technology Transfer In The Us And Uk: A Stochastic Distance Function Approach

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  • Donald Siegel
  • Mike Wright
  • Wendy Chapple
  • Andy Lockett

Abstract

University technology transfer offices (henceforth, TTOs) play a critical role in the diffusion of innovation and the development of new technology infrastructure. Studies of the relative efficiency of TTOs have been based on licensing output measures and data from a single country. In contrast, we present the first cross-country comparison of the relative performance of TTOs, based on stochastic multiple output distance functions. The additional dimension of output considered is the university's propensity to generate start-up companies, based on technologies developed at these institutions. We find that US universities are more efficient than UK universities and that the production process is characterized by either decreasing or constant returns to scale. Universities with a medical school and an incubator are closer to the frontier.

Suggested Citation

  • Donald Siegel & Mike Wright & Wendy Chapple & Andy Lockett, 2008. "Assessing The Relative Performance Of University Technology Transfer In The Us And Uk: A Stochastic Distance Function Approach," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 17(7-8), pages 717-729.
  • Handle: RePEc:taf:ecinnt:v:17:y:2008:i:7-8:p:717-729
    DOI: 10.1080/10438590701785769
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    References listed on IDEAS

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    1. Siegel, Donald S. & Waldman, David & Link, Albert, 2003. "Assessing the impact of organizational practices on the relative productivity of university technology transfer offices: an exploratory study," Research Policy, Elsevier, vol. 32(1), pages 27-48, January.
    2. Chapple, Wendy & Lockett, Andy & Siegel, Donald & Wright, Mike, 2005. "Assessing the relative performance of U.K. university technology transfer offices: parametric and non-parametric evidence," Research Policy, Elsevier, vol. 34(3), pages 369-384, April.
    3. Thursby, Jerry G. & Kemp, Sukanya, 2002. "Growth and productive efficiency of university intellectual property licensing," Research Policy, Elsevier, vol. 31(1), pages 109-124, January.
    4. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    5. Phillip Phan & Donald S. Siegel & Mike Wright, 2016. "Science Parks and Incubators: Observations, Synthesis and Future Research," World Scientific Book Chapters, in: Phillip H Phan & Sarfraz A Mian & Wadid Lamine (ed.), TECHNOLOGY ENTREPRENEURSHIP AND BUSINESS INCUBATION Theory • Practice • Lessons Learned, chapter 9, pages 249-272, World Scientific Publishing Co. Pte. Ltd..
    6. Scott Shane & Toby Stuart, 2002. "Organizational Endowments and the Performance of University Start-ups," Management Science, INFORMS, vol. 48(1), pages 154-170, January.
    7. Wright, Mike & Lockett, Andy & Clarysse, Bart & Binks, Martin, 2006. "University spin-out companies and venture capital," Research Policy, Elsevier, vol. 35(4), pages 481-501, May.
    8. Kumbhakar, Subal C & Ghosh, Soumendra & McGuckin, J Thomas, 1991. "A Generalized Production Frontier Approach for Estimating Determinants of Inefficiency in U.S. Dairy Farms," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(3), pages 279-286, July.
    9. Kodde, David A & Palm, Franz C, 1986. "Wald Criteria for Jointly Testing Equality and Inequality Restriction s," Econometrica, Econometric Society, vol. 54(5), pages 1243-1248, September.
    10. Bray, Michael J. & Lee, James N., 2000. "University revenues from technology transfer: Licensing fees vs. equity positions," Journal of Business Venturing, Elsevier, vol. 15(5-6), pages 385-392.
    11. Marie Thursby & Richard Jensen, 2001. "Proofs and Prototypes for Sale: The Licensing of University Inventions," American Economic Review, American Economic Association, vol. 91(1), pages 240-259, March.
    12. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    13. Scott Shane, 2002. "Selling University Technology: Patterns from MIT," Management Science, INFORMS, vol. 48(1), pages 122-137, January.
    14. Reifschneider, David & Stevenson, Rodney, 1991. "Systematic Departures from the Frontier: A Framework for the Analysis of Firm Inefficiency," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 32(3), pages 715-723, August.
    15. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    16. Albert Link & Donald Siegel, 2005. "Generating science-based growth: an econometric analysis of the impact of organizational incentives on university-industry technology transfer," The European Journal of Finance, Taylor & Francis Journals, vol. 11(3), pages 169-181.
    17. Lockett, Andy & Murray, Gordon & Wright, Mike, 2002. "Do UK venture capitalists still have a bias against investment in new technology firms," Research Policy, Elsevier, vol. 31(6), pages 1009-1030, August.
    18. Di Gregorio, Dante & Shane, Scott, 2003. "Why do some universities generate more start-ups than others?," Research Policy, Elsevier, vol. 32(2), pages 209-227, February.
    19. Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
    20. Jerry G. Thursby & Marie C. Thursby, 2002. "Who Is Selling the Ivory Tower? Sources of Growth in University Licensing," Management Science, INFORMS, vol. 48(1), pages 90-104, January.
    21. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
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